Category Archives: Uncategorized

Authors: K. Chaitanya, Assistant Professor Nekuri Jyothsna

Abstract: Diabetes mellitus is a growing chronic health condition that needs to be detected at an early stage to avoid complications. Machine learning (ML) is proving to be an efficient solution for developing Clinical Decision Support Systems (CDSS), which aid doctors in diagnosing and predicting diseases. The research aims to develop an artificial intelligence-based CDSS for diabetes prediction using supervised machine learning algorithms such as Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), and Gradient Boosting (GB). The results of the experiments prove that the ensemble methods are better than traditional methods. The proposed CDSS is a solution for predicting diabetes mellitus and shows its potential for providing accurate insights for decision-making in the health care industry. The use of such artificial intelligence-based CDSS is significant for decision-making in health care.

DOI: https://doi.org/10.5281/zenodo.20555588

Published by: vikaspatanker

Authors: Assistant Professor Prajina V K, Assistant Professor Bhargavi M R

Abstract: Despite the technological advancements in agriculture, it continues to be vulnerable to climate change effects, and poor crop choice due to unfavorable conditions results in low yields and monetary hardship to farmers. This paper proposes a hybrid machine learning approach for crop recommendation that takes into account not only the weather forecast (rainfall, temperature, humidity) but also soil characteristics (pH, nitrogen, phosphorus, potassium). It consists of two stages: the Random Forest algorithm for feature selection and prediction followed by the XGBoost algorithm for correction of predicted values. Applying the approach to the data set of 50,000 crop images tagged by location for 15 main crops within a period of 10 years (2015-2025) in India, the hybrid algorithm reaches the accuracy level of 94.2% compared to Random Forest (89.3%), XGBoost (91.6%), SVM (84.2%), and KNN (81.5%). Rainfall and minimum temperature were recognized as crucial features by the algorithm. The proposed algorithm is implemented in a smartphone application for farmers that provides recommendations based on weather forecasts for the next 5 days, which allows increasing crop yields up to 20-30%.

DOI: https://doi.org/10.5281/zenodo.20555541

Published by: vikaspatanker

Authors: Assistant Professor Gargi Mishra, Assistant Professor S Anantha Priyadharsini

Abstract: Access to quality healthcare in developing nations often remains challenging due to several factors including geographical distance, shortage of competent medical professionals, and lack of diagnostic facilities. This study proposes an efficient cloud-based smart health kiosk that facilitates the delivery of cost-effective, easy-to-access, and quality diagnostic services. The design of the kiosk involves the use of IoT enabled medical sensors (digital stethoscope, infrared thermometer, pulse oximeter, blood pressure measurement device, glucometer, ECG, and urinalysis dipstick reader) and edge computing gateway for capturing the data and pre-processing the acquired data. Telemedicine is used for establishing a video connection between the patient and remote physician. Medical data is transferred to the cloud storage through an HIPAA compliant network for long-term storage and initial triaging using artificial intelligence. After deployment at 50 rural areas in India serving 250,000 patients in 18 months, average travel time decreased from 32 km to 1.5 km and out-of-pocket costs were minimized by 68%. Patient satisfaction rate was recorded to be 94%.

DOI: https://doi.org/10.5281/zenodo.20555450

Published by: vikaspatanker

Authors: Prof. Ashwini Sawant, Ajinkya Shriram Gurav, Prasad Nagnath Londe, Prasanna Motiram Kasabe

Abstract: The integration of Information and Communication Technology (ICT) in rural governance is a critical step towards a "Digital India." This research discusses the design and development of E-Grampanchayat, an automated administration portal. The system addresses the inefficiencies of the traditional manual ledger-based system by digitizing document requests, notice dissemination, and tax collection. A unique contribution of this paper is the Hybrid Fiscal Verification Module, which allows asynchronous verification of UPI-based tax payments. The system was developed using a PHP-MySQL architecture and tested in a localized server environment, demonstrating high data consistency, reduced processing latency, and improved transparency in local self-government operations.

Published by: vikaspatanker

Authors: Gunta Deekshitha Raj, Yasa Shivanandhan Reddy, Suragoni Vaishnav Sai Goud, Mrs. H. Meenal

Abstract: Gold is one of the most valuable and widely traded commodities in the world, playing a significant role in global financial markets, investment portfolios, and economic stability. Due to its ability to act as a hedge against inflation, currency fluctuations, and economic uncertainties, the analysis of gold prices and supply has become increasingly important for researchers, investors, and policymakers. This project focuses on the analysis and visualization of global gold price and supply trends from 2010 to 2025 using Tableau, a powerful data visualization tool. The dataset used in this study contains information related to gold prices, gold supply, demand, trading volume, countries, regions, market types, and other economic attributes. The dataset was collected from reliable sources and processed to ensure consistency and accuracy. Data preprocessing techniques were applied to organize and prepare the dataset for visualization and analysis. Various dimensions and measures present in the dataset enabled a comprehensive study of gold market behavior across different geographical regions and time periods. To gain meaningful insights, multiple visualization techniques were implemented using Tableau. These include line charts, bar charts, dual-axis charts, funnel charts, waterfall charts, heat maps, highlight tables, geographical maps, timelines, crosstabs, and interactive dashboards. The visualizations were designed to explore trends in gold prices, compare gold supply across countries and regions, analyze trading volumes, and identify patterns over time. Interactive features such as filtering, highlighting, and dashboard actions were also incorporated to improve user exploration and data interpretation. The analysis revealed noticeable variations in gold prices and supply over the years, highlighting the influence of market conditions and regional factors on gold-related activities. Comparative visualizations helped identify differences among countries and regions, while time-series analysis provided insights into long-term trends and fluctuations. The dashboards enabled users to interact with the data and obtain a clearer understanding of relationships between different variables. Overall, this project demonstrates the effectiveness of data visualization in transforming complex financial datasets into meaningful and easily understandable insights. The findings contribute to a better understanding of global gold market trends and showcase how Tableau can be used as an effective tool for exploratory data analysis, decision-making, and financial market research.

Published by: vikaspatanker

Authors: Chandu N S, Ullas S T, Assistant Professor Mr. Keerthi B L

Abstract: In this world of depleting resources, renewable energy plays an important role. Wind energy is one of the major renewable energy sources. In this paper we intend to study and review various research papers on generating electricity from wind energy using turbo ventilators. This method is economical and feasible by applying various electrical and mechanical techniques. In this paper we also intend to improve the efficiency of the system by using various materials for the fabrication of turbo ventilators. We have reviewed the papers on this topic published by various authors. We have compared their designs and concluded into an efficient model by combining all the designs into one. Turbo ventilators are widely used on industrial sheds and warehouses for natural ventilation without consuming electrical energy. They operate on the principle of wind velocity and stack effect, where hot air rises and rotates the turbine blades. The present project explores the potential of utilizing this otherwise wasted rotational energy of turbo ventilators for generating electricity. The working concept involves coupling the rotating shaft of a turbo ventilator with a low-rpm DC generator or alternator through a suitable gear mechanism. As the ventilator rotates due to wind or thermal convection, mechanical energy is converted into electrical energy. The output is generally low voltage DC, which can be stored in batteries using a charging circuit and later used for small-scale applications like LED lighting, mobile charging, or powering sensors.The study includes design considerations such as selection of generator, gear ratio optimization, mounting arrangement, and electrical load calculation. Experimental results show that a standard 24-inch turbo ventilator can generate 5V–12V under moderate wind speeds of 3–6 m/s, producing power in the range of 3–10 W. Though the output is small, it is continuous and free of cost, making it suitable for sustainable energy harvesting. In conclusion, electricity generation from turbo ventilators provides a cost-effective and eco-friendly solution for auxiliary power needs in industries. It utilizes existing infrastructure, requires low maintenance, and contributes to green energy initiatives. The concept can be further improved by using efficient generators, MPPT circuits, and multiple units in parallel for higher output.

Published by: vikaspatanker

Authors: Mr. Biswajit Sen

Abstract: Strategic leadership plays a crucial role in navigating the complexities of emerging markets, where rapid economic growth, institutional instability, and socio-political uncertainties create both opportunities and risks. This study examines the influence of strategic leadership on organizational performance, sustainability, and competitive advantage in emerging economies. Drawing on secondary data from academic journals, industry reports, and case studies, the research explores leadership styles, adaptive strategies, and decision-making approaches that contribute to organizational success. The findings indicate that strategic leaders who demonstrate vision, adaptability, cultural intelligence, and innovation are better positioned to manage uncertainty and achieve sustainable growth. The study concludes with recommendations for enhancing leadership effectiveness in emerging market environments.

Published by: vikaspatanker

Authors: Mahak Rawat, Ms. Shruti Rawat

Abstract: The work-from-home (WFH) model — a remote work arrangement facilitated by digital communication technologies, cloud-based collaboration platforms, and organizational policy adaptations — has fundamentally restructured the landscape of employee productivity and organizational performance management in the contemporary corporate environment. This research paper investigates the work-from-home culture and its multifaceted impact on employee productivity at Infosys Ltd., one of India's foremost information technology and consulting corporations. Through systematic analysis of secondary data drawn from Infosys corporate reports, HR practitioner publications, technology industry research, and academic literature spanning 2020 to 2025, the study examines the organizational transition to remote work models, evaluates productivity outcomes across functional dimensions, and identifies the key enablers and inhibitors of WFH effectiveness within the Infosys operational context. Findings indicate that while WFH arrangements at Infosys have yielded measurable gains in individual task completion efficiency, cost optimization, and talent retention — particularly among senior technical professionals — challenges persist around collaborative innovation, work-life boundary management, digital fatigue, and equitable access to career development opportunities for employees in remote settings. The paper concludes that sustainable WFH productivity at Infosys requires an integrated organizational strategy encompassing robust digital infrastructure, outcome-oriented performance frameworks, structured virtual collaboration protocols, and proactive employee well-being support mechanisms.

DOI: http://doi.org/10.5281/zenodo.20527147

Published by: vikaspatanker

Authors: Tharani B, Jeevitha Mani S, Kayathri R D, Revathi Sangeetha R, Sri Ranjani Devi N

Abstract: The improper disposal of menstrual waste has become a major concern due to its impact on hygiene, public health, and environmental sustainability [1][3][4]. Conventional disposal methods such as open dumping, flushing, or mixing sanitary waste with regular garbage can lead to pollution, unpleasant odor, and difficulties in waste management [3][5]. To overcome these challenges, this work presents a compact and energy-efficient menstrual waste disposal system designed to provide safe, hygienic, and automated waste handling with minimal human intervention [7][8]. The proposed system is developed using an ESP32 microcontroller that controls the heating, cooling, and monitoring operations of the disposal unit. When menstrual waste is inserted into the chamber and the start button is pressed, a relay-controlled nichrome heating element generates sufficient thermal energy for effective incineration [1][7]. A DHT11 temperature sensor continuously monitors the chamber temperature and transfers the readings to the controller for safe operation. After completion of the burning process, a cooling fan is automatically activated for a predefined duration to reduce the internal temperature of the system. In addition, a 2×16 LCD module displays real-time temperature values and cooling fan status, improving system usability and monitoring capability. The experimental results demonstrate that the proposed system provides reliable operation, efficient waste disposal, and reduced direct human contact with sanitary waste [6][9]. The compact design and automated functionality make the system suitable for deployment in homes, schools, hostels, hospitals, and public sanitation facilities. By integrating automation, thermal processing, and smart monitoring features, the proposed system contributes toward environmentally responsible menstrual waste management and improved sanitation practices [2][5][10].

DOI: http://doi.org/10.5281/zenodo.20526664

Published by: vikaspatanker

Authors: Acchani Sridhar, P.Silas

Abstract: The evolution of healthcare technology has transformed conventional diagnostic instruments into digitally enabled medical devices capable of supporting modern clinical practice. Digital stethoscopes combine traditional auscultation techniques with electronic signal acquisition, sound enhancement, data recording, and communication capabilities. While these innovations improve clinical utility, they also introduce additional regulatory obligations associated with software, electronic safety, cybersecurity, and data management. This article examines the regulatory documentation framework applicable to digital stethoscopes within the Indian medical device sector. The study discusses quality management requirements, risk management principles, performance evaluation, clinical evidence generation, software validation, and post-market surveillance activities relevant to product development and commercialization. A structured regulatory approach is presented to assist manufacturers in demonstrating safety, performance, and compliance throughout the device lifecycle. The analysis highlights the increasing importance of integrated quality and regulatory systems in supporting market access and long-term compliance for digitally enabled medical technologies.

DOI: http://doi.org/10.5281/zenodo.20526019

Published by: vikaspatanker